_base_ = "./faster_rcnn_r50_fpn_gn_ws-all_1x_coco.py"
conv_cfg = dict(type="ConvWS")
norm_cfg = dict(type="GN", num_groups=32, requires_grad=True)
model = dict(
    pretrained="open-mmlab://jhu/resnext101_32x4d_gn_ws",
    backbone=dict(
        type="ResNeXt",
        depth=101,
        groups=32,
        base_width=4,
        num_stages=4,
        out_indices=(0, 1, 2, 3),
        frozen_stages=1,
        style="pytorch",
        conv_cfg=conv_cfg,
        norm_cfg=norm_cfg,
    ),
)
